Di Lin

Computer Vision and Pattern Recognition · 2015–2018

A researcher in the Science corpus: 3 papers; trusts 596 researchers and is trusted by 91 researchers here, as inferred from the citation graph.

Subfields

• Computer Vision and Pattern Recognition — 92 citations into it; #3,331 of 21,575 by trust here, #4,245 by citations
• Artificial Intelligence — 37 citations into it; #19,130 of 35,345 by trust here, #11,921 by citations
• Evaluation & Benchmarks — 13 citations into it
• Model Architectures — 12 citations into it
• Media Technology — 6 citations into it

Whom Di Lin trusts overall

Their strongest outbound trust, strongest first, inferred from their citations.

1. Kaiming He
2. Alex Krizhevsky
3. Geoffrey E. Hinton
4. Karen Simonyan
5. Ross B. Girshick
6. Andrew Zisserman
7. Ilya Sutskever
8. Yann LeCun
9. Yoshua Bengio
10. Diederik P. Kingma

Who trusts Di Lin overall

1. Yunchao Wei
2. Shiyin Zhang
3. Junjun He
4. Meng Tang
5. Jiwoon Ahn
6. Rodrigo Benenson
7. Qibin Hou
8. Xiu-Shen Wei
9. Sanghyun Jo
10. Qi Yao

Papers from Di Lin's perspective

Ordered by how strongly the researchers Di Lin trusts endorse each paper. Same corpus, a different order for every researcher.

1. ImageNet classification with deep convolutional neural networks
2. Deep Residual Learning for Image Recognition (Computer Vision and Pattern Recognition)
3. Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
4. ImageNet: A large-scale hierarchical image database
5. Long Short-Term Memory
6. Gradient-based learning applied to document recognition
7. Attention is All you Need (Neural Information Processing Systems)
8. Very Deep Convolutional Networks for Large-Scale Image Recognition (International Conference on Learning Representations)
9. ImageNet Large Scale Visual Recognition Challenge
10. Going deeper with convolutions

Their papers

• ScribbleSup: Scribble-Supervised Convolutional Networks for Semantic Segmentation (2016) — 1,133 citations
• Deep LAC: Deep localization, alignment and classification for fine-grained recognition (2015) — 360 citations
• Multi-scale Context Intertwining for Semantic Segmentation (2018) — 171 citations